Jobs at Makai Labs

Own and prioritize the product backlog, facilitate Agile ceremonies, write user stories and functional specifications, define acceptance criteria, and align engineering, design, and stakeholders. The Product Owner tracks delivery progress, oversees testing and validation, incorporates user feedback and performance metrics, and improves team workflows through clear documentation and proactive communication.

Train with engineering, product, and client teams before embedding in client engagements. Discover workflows through SME interviews, document review, and system mapping; identify automation opportunities; write specifications; build and test AI-agent prototypes; lead rollouts; and measure productivity and ROI. This early-career role offers development paths toward AI engineering, product and implementation, or engagement leadership.

The Business Analyst will support the discovery process for clients, document workflows, assist in product design, and provide user training and issue resolution post-launch, collaborating with cross-functional teams.

Design, build, and operate production Azure platforms from empty subscriptions using Terraform. Lead network, compute, data, and CI/CD architecture; run risky migrations with runbooks and rollbacks; maintain platform health, upgrades, and security; and advise client DevOps teams during deploys and incidents.

Design, build, and maintain Node.js/TypeScript backend services; optimize for speed and scalability; collaborate with frontend and product designers; write clean documented code; run performance tests; ensure stability, compliance, and production readiness.

Lead QA initiatives across the SDLC: design and execute manual and automated tests, perform API and backend testing with SQL validation, manage defect lifecycle, advocate process improvements, and mentor team members to ensure product reliability and release readiness.

Senior backend engineer responsible for designing and implementing Flask-based services, optimizing performance and scalability, maintaining and enhancing applications, writing clean documented code, conducting performance tests, ensuring UI/UX feasibility, and collaborating with frontend teams and stakeholders during discovery.

The AI Engineer will build AI-powered applications, prototype solutions, implement workflows using LLMs, and manage sub-projects while improving internal tools.